Ocean Modeling Discussion


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PostPosted: Sat Sep 07, 2019 2:50 pm 

Joined: Mon Apr 18, 2005 6:41 pm
Posts: 13
Location: University of Massachusetts Boston
Harbor Branch Oceanographic Institute (HBOI) (https://www.fau.edu/hboi/) is seeking a self-motivated candidate to conduct numerical modeling of harmful algal blooms (HABs) in Florida estuaries and coastal oceans. The successful candidate will be in charge of developing, implementing, and analyzing the results of coupled physical-biogeochemical models for Indian River Lagoon, St. Lucie Estuary and Caloosahatchee Estuary. The areas have experienced different types of HABs involving both freshwater species such as cyanobacteria Microcystis aeruginosa, and saltwater species such as brown-tide Aureoumbra lagunensis and red-tide Pyrodinium bahamense. The main objectives of numerical modeling are to understand the controlling physical and biogeochemical processes and ultimately to predict the blooms. Sediment diagenesis and vegetation may play important roles in some areas/cases, and larger forces include eutrophication due to increasing human activity and climate change.

This effort is also part of the HBOI Florida Center for Coastal and Human Health that involve a team of collaborators with diverse interests in remote sensing, laboratory experiments, and field observations (http://www.fau.edu/hboi/flcchh/). The candidate should be willing to collaborate with scientists within and outside of FAU in a university culture that fosters innovation and collaboration. The initial appointment will be one year with possible renewal depending on funding availability and the performance.

This position is open until filled and may close without prior notice. For inquiry about the position, please contact Dr. Mingshun Jiang via email jiangm@fau.edu or phone 772-242-2254.

All applicants must apply electronically to the currently posted position on the Office of Human Resources' job website (https://fau.edu/jobs) by completing the required employment application for this recruitment and submitting the related documents. The job # is REQ07270.

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